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This replication archive contains all scripts to replicate the analysis in

Däubler, T., Quoß, F., Rudolph, L., 2021, Do citizens use sociodemographic characteristics as cues to infer candidate issue positions?, Swiss Political Science Review. Forthcoming.

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For the do-file to work directly, we suggest setting up the following structure of files and folders:

1. Save all files of this archive in a working directory
2. Create subfolder "tables" 
3. Create subfolder "figures"

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This replication archive contains the following files:

readme.txt -- 			this file 
questionnaire_w4_de.pdf -- 	the full German questionnaire of the survey
master_respondents.dta -- 	original survey data compiled for this project; cleaned and partially recoded Stata15 dataset, 
				reduced to the variables necessary to reproduce the analyses and enriched with additional geocoded variables (municipality type). 
analyses.do -- 			reproduces table 1, figures 2-7, tables A.1, A.5-A.13, figures A.1-A.2, A.8-A.20

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The full, original respondent-level dataset is available at Forsbase: 
Quoß, Franziska, Lukas Rudolph, Sarah Gomm, Stefan Wehrli and Thomas Bernauer. 2021. Swiss Environmental Panel Study 2018-2020, Wave 1-6, Cumulative Data [Dataset]. ETH Zurich - Institute of Science, Technology and Policy. Distributed by FORS, Lausanne, 2021. doi:10.23662/FORS-DS-1220-2.

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This replication archive does not contain the original Smartvote datafile that contains all candidate-level data 
(Smartvote. 2019. “Daten der Online-Wahlhilfe smartvote.ch zu den Eidg. Wahlen 2019.” URL: www.smartvote.ch). 
We received this data under an agreement not to distribute it. These data can be requested from Smartvote directly, 
and code to reproduce this analysis is available from the authors upon request.
This concerns table 2, figure 1, tables A.2 and A.3, figures A.3 and A.4.

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We use the following computational environment:

Stata version 15
- Packages: mplotoffset, grstyle, coefplot, estout

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END

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